Information management for proteomics: a perspective.
Proteomics is a data-rich discipline that makes extensive use of separation tools, mass spectrometry and bioinformatics to analyze and interpret the features and dynamics of the proteome. A major challenge for the field is how proteomics data can be stored and managed, such that data become permanent and can be mined with current and future tools. This article details our experience in the development of a commercial proteomic information management system. We identify the challenges faced in data acquisition, workflow management, data permanence, security, data interpretation and analysis, as well as the solutions implemented to address these issues. We finally provide a perspective on data management in proteomics and the implications for academic and industry-based researchers working in this field.
Wilkins
Marc R
MR
Proteome Systems Ltd, North Ryde, NSW 1670, Australia. m.wilkins@unsw.edu.au
Arthur
Jonathan W
JW
Junius
F Keith
FK
Harrison
Mathew J
MJ
Traini
Mathew D
MD
Bizannes
Paul
P
Doggett
Philip E
PE
McDonald
Warren
W
D030562:Databases, Protein; D016247:Information Storage and Retrieval / Q000379:methods*; D040901:Proteomics / Q000379:methods*; D012984:Software; D014584:User-Computer Interface